{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T17:22:45Z","timestamp":1771953765674,"version":"3.50.1"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319458854","type":"print"},{"value":"9783319458861","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-45886-1_31","type":"book-chapter","created":{"date-parts":[[2016,8,26]],"date-time":"2016-08-26T08:41:50Z","timestamp":1472200910000},"page":"377-388","source":"Crossref","is-referenced-by-count":3,"title":["Weakly-Supervised Semantic Segmentation by Redistributing Region Scores Back to the Pixels"],"prefix":"10.1007","author":[{"given":"Josip","family":"Krapac","sequence":"first","affiliation":[]},{"given":"Sini\u0161a","family":"\u0160egvi\u0107","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,8,27]]},"reference":[{"key":"31_CR1","doi-asserted-by":"crossref","unstructured":"Arbel\u00e1ez, P., Pont-Tuset, J., Barron, J., Marques, F., Malik, J.: Multiscale combinatorial grouping. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.49"},{"key":"31_CR2","doi-asserted-by":"crossref","unstructured":"Boix, X., Gonfaus, J.M., van de Weijer, J., Bagdanov, A.D., Gual, J.S., Gonz\u00e0lez, J.: Harmony potentials - fusing global and local scale for semantic image segmentation. IJCV (2012)","DOI":"10.1007\/s11263-011-0449-8"},{"key":"31_CR3","doi-asserted-by":"crossref","unstructured":"Cimpoi, M., Maji, S., Kokkinos, I., Vedaldi, A.: Deep filter banks for texture recognition, description, and segmentation. IJCV 1\u201330 (2016)","DOI":"10.1007\/s11263-015-0872-3"},{"key":"31_CR4","doi-asserted-by":"crossref","unstructured":"Cinbis, R.G., Verbeek, J., Schmid, C.: Weakly supervised object localization with multi-fold multiple instance learning. In: PAMI (2016)","DOI":"10.1109\/TPAMI.2016.2535231"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Csurka, G., Perronnin, F.: An efficient approach to semantic segmentation. IJCV (2011)","DOI":"10.1007\/s11263-010-0344-8"},{"key":"31_CR6","doi-asserted-by":"crossref","unstructured":"Dai, J., He, K., Sun, J.: BoxSup: exploiting bounding boxes to supervise convolutional networks for semantic segmentation. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.191"},{"key":"31_CR7","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: CVPR (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"31_CR8","doi-asserted-by":"crossref","unstructured":"Everingham, M., Gool, L., Williams, C.K., Winn, J., Zisserman, A.: The pascal visual object classes (VOC) challenge. IJCV (2010)","DOI":"10.1007\/s11263-009-0275-4"},{"key":"31_CR9","unstructured":"Hong, S., Noh, H., Han, B.: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation. CoRR abs\/1506.04924 (2015)"},{"key":"31_CR10","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: NIPS (2012)"},{"key":"31_CR11","doi-asserted-by":"crossref","unstructured":"Lampert, C.H., Blaschko, M.B., Hofmann, T.: Efficient subwindow search: a branch and bound framework for object localization. In: PAMI (2009)","DOI":"10.1109\/TPAMI.2009.144"},{"key":"31_CR12","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"31_CR13","doi-asserted-by":"crossref","unstructured":"Papandreou, G., Chen, L., Murphy, K.P., Yuille, A.L.: Weakly- and semi-supervised learning of a deep convolutional network for semantic image segmentation. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.203"},{"key":"31_CR14","doi-asserted-by":"crossref","unstructured":"Pathak, D., Kr\u00e4henb\u00fchl, P., Darrell, T.: Constrained convolutional neural networks for weakly supervised segmentation. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.209"},{"key":"31_CR15","unstructured":"Pathak, D., Shelhamer, E., Long, J., Darrell, T.: Fully convolutional multi-class multiple instance learning. In: ICLR Workshop (2015)"},{"key":"31_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1007\/978-3-642-15561-1_11","volume-title":"Computer Vision \u2013 ECCV 2010","author":"F Perronnin","year":"2010","unstructured":"Perronnin, F., S\u00e1nchez, J., Mensink, T.: Improving the Fisher Kernel for large-scale image classification. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol. 6314, pp. 143\u2013156. Springer, Heidelberg (2010)"},{"key":"31_CR17","doi-asserted-by":"crossref","unstructured":"Pinheiro, P.O., Collobert, R.: From image-level to pixel-level labeling with convolutional networks. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298780"},{"key":"31_CR18","unstructured":"Ramachandran, S., Mooney, R.J.: Revising Bayesian network parameters using backpropagation. In: ICNN (1996)"},{"key":"31_CR19","unstructured":"Ren, S., He, K., Girshick, R.B., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS (2015)"},{"key":"31_CR20","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, J., Perronnin, F., Mensink, T., Verbeek, J.J.: Image classification with the fisher vector: theory and practice. IJCV (2013)","DOI":"10.1007\/s11263-013-0636-x"},{"key":"31_CR21","unstructured":"Shotton, J., Winn, J.M., Rother, C., Criminisi, A.: Textonboost for image understanding: multi-class object recognition and segmentation by jointly modeling texture, layout, and context. IJCV (2009)"},{"key":"31_CR22","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: ICLR (2015)"},{"key":"31_CR23","doi-asserted-by":"crossref","unstructured":"Uijlings, J.R.R., van de Sande, K.E.A., Gevers, T., Smeulders, A.W.M.: Selective search for object recognition. IJCV (2013)","DOI":"10.1007\/s11263-013-0620-5"},{"key":"31_CR24","doi-asserted-by":"crossref","unstructured":"Xu, J., Schwing, A.G., Urtasun, R.: Learning to segment under various forms of weak supervision. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7299002"},{"key":"31_CR25","doi-asserted-by":"crossref","unstructured":"Zadrija, V., Krapac, J., Verbeek, J.J., Segvic, S.: Patch-level spatial layout for classification and weakly supervised localization. In: GCPR (2015)","DOI":"10.1007\/978-3-319-24947-6_41"},{"key":"31_CR26","doi-asserted-by":"crossref","unstructured":"Zhang, W., Zeng, S., Wang, D., Xue, X.: Weakly supervised semantic segmentation for social images. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298888"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-45886-1_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T23:44:08Z","timestamp":1657151048000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-45886-1_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319458854","9783319458861"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-45886-1_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}